ov-search-context

Search the OpenViking context database using semantic search, literal pattern matching, file globbing, and directory traversal to retrieve memories, skills, and resources. This unified retrieval process allows AI agents to efficiently locate fragmented context.

Semantic search finds relevant project documentation by matching meaning rather than exact keywords. Use the find command with a query and target URI to locate relevant memories, skills, or resources within a specific project directory.

Yes, you can retrieve an overview or abstract of a specific file in the context database. Dedicated commands allow you to extract full content, high-level overviews, or concise abstracts for targeted files and directories.

Context-aware retrieval supports literal pattern matching and file globbing. It also includes directory listing and recursive traversal to help locate specific files and resources across the database.

You need a context database for AI agent knowledge management when fragmented information becomes hard to access. It provides a centralized repository enabling agents to search past discussions, skills, and resources for context-aware processing.